Presentation 2013-07-19
Generalization of Noises in Differential Privacy
Akihiro YAMANAKA, Ryo KIKUCHI, Dai IKARASHI,
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Abstract(in English) In this note we verify a sufficient condition of noises for satisfying Differential Privacy and introduce some new noises concretely. Furthermore we calculate percentiles of their noises for comparing the loss of data utilities before and behind adding noises. Finally, we conform the laplace noise has the smaller percentile than introduced noises, i.e. the Laplace noise is superior to other noises in terms of data utility.
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Keyword(in English) Privacy preserving data mining / Differential Privacy / Data utility / Laplace noise
Paper # ISEC2013-49,SITE2013-44,ICSS2013-54,EMM2013-51
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Conference Information
Committee SITE
Conference Date 2013/7/11(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generalization of Noises in Differential Privacy
Sub Title (in English)
Keyword(1) Privacy preserving data mining
Keyword(2) Differential Privacy
Keyword(3) Data utility
Keyword(4) Laplace noise
1st Author's Name Akihiro YAMANAKA
1st Author's Affiliation NTT Software Innovation Center()
2nd Author's Name Ryo KIKUCHI
2nd Author's Affiliation NTT Secure Platform Laboratory
3rd Author's Name Dai IKARASHI
3rd Author's Affiliation NTT Secure Platform Laboratory
Date 2013-07-19
Paper # ISEC2013-49,SITE2013-44,ICSS2013-54,EMM2013-51
Volume (vol) vol.113
Number (no) 136
Page pp.pp.-
#Pages 8
Date of Issue